
Scraping Projects
Looking for freelance Scraping jobs and project work? PeoplePerHour has you covered.
Data Scraping contacts with numbers.
We are looking to get the contacts of Name, Mobile number, email, current position. their qualifications and experience and it's 500 contacts from the same company
3 days ago23 proposalsRemoteEducation Registers Scraping & Contact Enrichment
Education Registers Scraping & Contact Enrichment Build complete databases of educational institutions in England, Norway and Slovakia, using the official registers as master sources and enriching each record with email and phone details from the institution's official website. The attached Technical Specification forms an integral part of the project and defines sources, extraction rules, Priority Pages, email selection and required output. Validation Before award, please submit 5 sample records per country following the Technical Specification. After award First deliver 200 records per country for review. Do not run the complete extraction before receiving our feedback. After feedback, apply the agreed methodology to the complete datasets and reprocess the initial records where necessary. Deadline Final delivery: within 7 calendar days from project award, including sample review and corrections. Please read the attached specification carefully and raise any questions before running the complete datasets.
a month ago19 proposalsRemoteBespoke list building: structural engineers and maritime targets
We are planning direct email outreach campaign to target two markets. 1. Approximately the top 200 blast‑specialist firms USA, UK and Middle-East, 500-600 contacts likely. Roles: Senior partners/engineering directors, structural leads, safety‑case project managers and design engineers 2. Ports & Harbours + Naval + Superyacht (150 firms) UK only - possibly Netherlands. Engineering directors, naval architects, offshore structural leads, safety‑case managers, port‑security heads. We need direct, proper emails and phone numbers. Better than 95% accurate data. Either found by AI-assisted data scraping or off legitimate existing lists.
9 days ago27 proposalsRemoteTurkey Schools Register Scraping & Email Decoding
Turkey Schools Register Scraping & Email Decoding Build a complete database of Turkish schools using the official MEB register as the master source, extracting address and telephone details and decoding the public email address provided through the MEB website. The attached Technical Specification forms an integral part of the project and describes the source, Adi/Bilgi logic, CHK decoding algorithm, validation rules, audit fields and required output. Before award: please submit 5 sample records following the attached specification. After award: first provide 200 records for review. Do not run the complete extraction before receiving our feedback. Final delivery is required within 7 calendar days from project award, including sample review and corrections.
a month ago14 proposalsRemoteopportunity
Executive Recruiter / Headhunter Wanted
About the Role: I am a senior Marketing & Growth Leader (ex-CMO, VP Growth, Director of Marketing) with 15 years of international experience leading P&Ls up to €6.5M, managing teams of up to 25 people across global scale-ups and platforms (ex-Chess.com, Sonova Group, Zinio, Wharton MA) I am currently actively targeting C-Level (CMO), VP, and Senior Director roles (Marketing, Growth, Product Marketing) in Copenhagen and the Nordics (B2B SaaS, Tech, Scale-ups) I am looking for an experienced, well-connected Executive Headhunter / Talent Partner with a proven, active network in the Danish and Nordic tech ecosystems. What I Am Looking For: Direct Access: Active relationships with Founders, CEOs, Board Members, VCs, and HR Decision Makers in Copenhagen and Denmark/Nordics. Relevant Track Record: Proven history of placing Senior Executives (CMO, VP of Growth, VP of Marketing, Director) in Series B+ scale-ups or enterprise tech companies No Fluff / No Time-Wasting: I am not looking for someone who just scrapes LinkedIn or submits CVs to generic career portals. I need someone who can pitch my profile directly to decision-makers and secure qualified exploratory interviews. Your Deliverables: Direct introductions / pitched interviews with C-Level / VC decision-makers in Copenhagen/Nordics. Market intelligence on unadvertised executive openings (hidden job market). Requirements to Apply (Please read carefully): When applying to this job, do not send generic automated proposals. Please include: Brief proof of your Nordic/Danish network: Mention 2-3 companies or sectors in Denmark/Nordics where you have active executive contacts. Examples of past executive placements in Tech/SaaS (CMO, VP, Director level). Your proposed structure: (e.g., fixed fee per qualified C-level intro, success fee structure, or milestone-based rate). Note: I am an EU citizen, fluent in English, and ready to relocate to Copenhagen immediately. I value efficiency, direct communication, and mutual respect for time.
5 days ago12 proposalsRemoteopportunity
Worldwide B2B Lead Researcher Verified Decision-Maker Contacts
We are looking for an experienced B2B lead researcher to help a digital agency identify high-quality potential clients internationally. We are NOT looking for bulk scraped databases or thousands of random email addresses. We want carefully researched companies that are realistic potential buyers of premium digital services such as: Website design and development Mobile app development UI/UX design SEO Google Ads / paid advertising Digital marketing Target Markets We are primarily interested in companies from strong commercial markets such as: United States United Kingdom UAE Canada Australia Switzerland Netherlands Germany Scandinavia Other high-value markets where appropriate You should be able to identify businesses that appear to have both the budget and a genuine reason to use our services. For Every Lead We Need Each lead should include: Company name Website Country / city Industry Decision-maker name Decision-maker job title Verified business email address LinkedIn profile Company LinkedIn profile where available A short explanation of WHY the company could be a potential client A visible website, marketing, advertising or digital problem/opportunity Which of our services would be most relevant to them One personalised opening line that could be used in outreach Relevant decision-makers may include: Founder CEO Managing Director Marketing Director Head of Marketing CMO Head of Digital Other appropriate decision-makers depending on the company Quality Is More Important Than Quantity We do not want generic leads such as: “Company has a website and may need marketing.” We want research that gives us an actual reason to contact the company. For example: outdated or poorly converting website weak mobile experience no clear conversion funnel poor UX obvious SEO opportunity running advertising to a weak landing page strong company with an outdated digital presence business expansion that may create demand for digital services company with an existing product that could benefit from an app or redesign The information must be based on publicly available business information and legitimate research methods. Paid Test We will begin with a PAID TEST of 10 leads. If the quality is strong, this can become ongoing work producing approximately: 50–100 researched leads per week. The test is specifically to evaluate research quality, targeting, decision-maker accuracy and personalisation. When Applying Please answer the following directly: How do you normally research B2B leads? Which tools do you use for finding and verifying decision-maker contact information? How do you verify email addresses before delivery? How would you decide whether a company is a good potential client for a digital agency? Please provide a sample of 2–3 leads in a similar format to the one described above, with any sensitive information removed if necessary. Which countries or markets are you strongest at researching? What is your fixed price for the initial 10-lead paid test? What would you charge for: 50 qualified leads per week 100 qualified leads per week How quickly can you deliver the first 10 leads? Will you personally research the leads, or will any part of the work be outsourced? Please do not send a generic lead-generation proposal. We are specifically looking for someone who can THINK about why a company is worth contacting, not simply export contact information from Apollo, ZoomInfo or another database. If the initial test is successful, we are interested in building a long-term working relationship.
9 days ago23 proposalsRemoteopportunity
Zoho CRM Professional Implementation Specialist
ZOHO OUTREACH We are looking for an experienced Zoho CRM specialist to configure a clean, scalable CRM for an international B2B recruitment sourcing business. CRM is already selected,with Zoho CRM Professional as the intended plan. We manage international B2B databases of recruitment agencies, manpower agencies, workforce/candidate suppliers, direct employers and clients. Outreach channels include Phone, WhatsApp, LinkedIn and Email, with Telegram/Facebook occasionally. Initially, the Founder and Main Assistant will use Zoho directly. External callers/freelancers should work through one bilingual English/Russian Google Sheets template without Zoho licences. MVP Configure mainly native Zoho CRM: Accounts/Companies, Contacts, Activities/Tasks, permanent Company IDs, Outreach Pipeline, Qualification, Account Manager, ownership fields, communication history, follow-ups, basic views/dashboard and migration from Excel/Google Sheets. Every Company needs a permanent unique ID such as VP-000001, VP-000002. IDs must be sequential, never changed, independent of Company Name/Country/Role and used as the matching key between Google Sheets and Zoho. Operators must not create IDs manually. GOOGLE SHEETS → ZOHO When an operator records an outreach activity, automation must find the Company by ID, create a separate Activity, preserve previous history, update summary fields, create a Follow-up Task when required and return Synced or Error/Needs Review. Activities must never overwrite previous Activities. Use one bilingual Google Sheets structure, one field mapping and one workflow. Preferred tools: Zoho Flow and/or Make, with minimal custom coding. CRM STRUCTURE Accounts = Companies; Contacts = people within Companies; Activities/Tasks = communication history and follow-ups. One Company may have multiple Contacts. Company Role: Supplier / Client / Both. Company Category: Recruitment Agency / Manpower Agency / Direct Employer / Workforce Supplier / Other. Pipeline: New; Outreach in Progress; Response Received; Qualification in Progress; Qualification Completed; Closed—No Response; Closed—Not Interested; Closed—Not Suitable. Qualification Result: Pending / Qualified / Not Suitable. Account Manager, Current Owner, Relationship Source and Contacted By must remain separate. Account Manager manages the relationship; Current Owner handles current responsibility; Relationship Source records who established the relationship; Contacted By records who performed a specific Activity. LINKEDIN & OWNERSHIP Support Company LinkedIn, Contact LinkedIn, LinkedIn Connection Status, First LinkedIn Outreach Date and Last LinkedIn Interaction Date. Employee reassignment must not change historical Activities, Notes, Relationship Source or Contacted By. ACTIVITIES Every communication attempt must be a separate Activity. Channels: Phone, WhatsApp, LinkedIn, Email, Telegram, Facebook, Instagram and Other. Preserve complete history while allowing Last Contact Date, Last Channel and Last Result to show the latest interaction. PILOT Before full migration, test 30–50 real Companies. Test different countries/types, multiple Contacts, Phone/WhatsApp/LinkedIn/Email Activities, multiple Activities per Company, follow-ups, qualification, invalid IDs and duplicate prevention. Full migration starts only after Founder approval. SECURITY The Zoho organisation remains owned by us. Founder remains Super Admin. Specialist receives a separate temporary account. Passwords must never be shared and critical automation must remain under company control. OUT OF SCOPE AI, ATS/Zoho Recruit, candidate workflow, telephony, transcription, call-centre software, WhatsApp Business API, automatic LinkedIn scraping/messaging and heavy custom development are not part of the MVP. DELIVERABLES Configured Zoho CRM; Company/Contact/Activity structure; permanent IDs; Pipeline/Qualification; ownership fields; LinkedIn fields; bilingual Google Sheets template; Sheets→Zoho automation; Sync Status/Error handling; follow-up automation; 30–50 Company pilot; full migration after approval; basic views; field mapping; automation documentation; short SOP video; confirmation of the recommended Zoho plan. PROPOSAL Please answer: 1) How many Zoho CRM implementations have you completed? 2) What experience do you have with Zoho CRM Professional? 3) Have you built Google Sheets→Zoho automation? 4) Zoho Flow, Make or both? 5) How will you preserve Activity history? 6) How will you prevent duplicates? 7) How will you implement permanent Company IDs? 8) How will you separate Current Owner, Relationship Source, Account Manager and Contacted By? 9) Can this MVP be built without heavy custom development? 10) Is Professional sufficient? If not, explain why. 11) Provide 1–3 relevant examples, fixed price and timeline. Please start your proposal with ZOHO OUTREACH.
10 days ago31 proposalsRemote
Past "Scraping" Projects
Event attendee list scraped into a csv
Hi, I need a web page scraping for an event attendee's details. There will be approx 18k records in total so 18k rows Columns to be: First name Last name Job Title Company Country Email address Phone number LinkedIn URL Strict deadline of Monday 14th September at 9am UK time. I will provide the log in to the portal https://exhibitors.exporeal.net/exhibitordirectory/2026/exporealnetwork-en/?CFID=24bc4b9e-78ae-4d7a-b1f5-96e779d36251&CFTOKEN=0&sfdc_community_url=login.messe-muenchen.de%2Fusers&sfdc_community_id=0DB1v000000TP8IGAW#/home
Data Scraping / Data Mining
I want data for UK Metal companies. Emails/phone numbers. Can you data scrape the member lists from the following: 1. https://www.mpma.org.uk/category/suppliers/ 2. https://galvanizing.org.uk/galvanizers-association-members/uk-and-irish-members/ 3. https://www.castmetalsfederation.com/cmf-members/supplier-search 4. https://alfed.org.uk/members/members-directory/ 5. https://thecbm.co.uk/our-members/member-directory/
Data scrape
data scrape numerous business catagories. business name telephone number email addresses of owners/directors/marketing/and generic. this will be in sunnyvale california and i will pinpoint the location on the maps then please go out a five mile radius. i will upload the types of businesses. I would like a price for 500leads and a price for 750 please. If using google maps i would like you to start at the location below and go outwards from there on a 5 mile radius if using linkden check the areas a five mile covers. Bay Area Estate Attorneys, P.C. 440 N Wolfe Rd, Sunnyvale, CA 94085, United States
opportunity
Scraping of hungarian insurance data
I have a Hungarian database that's open to the public without any login that I'd like scraped. Unfortunately, this database is extremely slow, tedious, and has "I'm not a robot" checks all the time. This makes it extremely difficult to even scrape it with Claude or any LLM. I'm looking for a creative individual that can pull this data for me and turn it into an Excel spreadsheet. There are going to be hundreds of thousands of data points in here. Please check out the website, and I have a comprehensive list of fields, basically every field that you can have to be scraped. This requires clicking through to the items and, in the majority of the cases, downloading a PDF and parsing that PDF as well. I am open to very creative ideas. Website: https://knyr.mkik.hu/kivreg/nyilvantarto/kereses# I'm also adding a screenshot that is going to help you add a few data points so that you don't have to wait an eternity until it returns the results. Do that because it's going to massively speed up your finding results, but the main project is for every single data point in here. Also, I'm adding a Word document (sorry, but it's in Hungarian), and that carries all the fields that are exposed on this website. I still haven't decided how many of those I will need, and I will work with you to make sure that we can scrape as many as possible.
opportunity
Data Scrape to Database
Hi, This project has a couple of layers: 1. Create a process that, using a link to an Amazon Page, scrape the product description, pricing and photos associated 2. Imort the above into a database that you would create 3. The database will have user defined fields for myself to update, mainly tick boxes, but some free text 4. The database should allow for export to Excel and also sortation within the data base the second layer is: 1. Using the scraped data create draft products within Ebay or similar 2. OPnce uploaded to Ebay or similar the databsed entry needs to be auto updated Thanks
Freelance UK B2B Lead Researcher – Commercial Finance Prospects
We are looking for an experienced **B2B lead generation / business research freelancer** to identify high-quality UK companies that are likely to have a requirement for commercial finance. This is **not a simple data-scraping exercise**. We do not want thousands of generic company records exported from Apollo, Companies House or another database. We are looking for someone who can research individual businesses and identify **established, credit-worthy UK companies with a credible reason they may require finance within the next 3–12 months.** The requirement is posted in the word document attached (because of character limit on PPH). When Applying Please include: 1. Your experience generating UK B2B leads. 2. The research and database tools you use. 3. How you verify business email addresses. 4. How you identify companies showing signs of expansion or capital investment. 5. An example of how you would identify a likely commercial finance requirement using publicly available information. 6. Confirmation that you are happy to complete the 20-lead paid test for £60. 7. Confirmation that you are happy with the ongoing rate of £250 per 100 accepted prospects. Please begin your application with the words: FINANCE LEAD RESEARCH Applications that do not include this phrase may not be considered.
opportunity
Make.com expert build uk planning portal scraper AI analyser
iam looking for an expert to build an automated workflow in Make.com that monitors UK local council planning portals (York/Harrogate) for new "Refused" planning applications. The Workflow: 1. Monitor: Scrape or monitor council planning portals for new "Refused" application decisions. 2. Filter: Filter results by keyword (e.g., "garage," "workshop," "storage," "club") and status ("Refused"). 3. AI Analysis: Integrate OpenAI (GPT-4) to analyze the planning officer's report. The AI must: - Assign a "Fixability Score" (1-10). - Summarize the reason for refusal. - Suggest a one-sentence path for potential approval. 4. Alert: Send a formatted email to me with the lead details and AI analysis. Requirements: - Proven experience with Make.com and OpenAI API integration. - Ability to handle "web scraping" or "RSS monitoring" for UK government portals. - Please provide examples of similar automation workflows you have built. Deliverables: - A fully functional, tested Make.com scenario. - Brief documentation on how to update keywords or add new council areas in the future. Sent from my iPhone
Web scraping, need some information for some business centres
I need the names of businesses registered at 5 Business Centres in the North East and any relevant contact details for key staff members, websites etc 3 will be given immediately and the wirk checked, then two more to follow There's only 30-40 businesses registered at each Francis
opportunity
Scraping data from the internet
I am looking for an experienced web scraping professional to extract structured data from a UK school directory site. The target website is the Independent Schools Council (ISC) directory. An example of the exact page structure can be found here: https://www.isc.co.uk/schools/england/berkshire/newbury/cheam-school/ There are approximately 1,600 similar school profile pages across this directory structure. Please note that the exact number is unverified, so your initial task will involve crawling/mapping the total number of profile URLs to confirm the final scope. Data Requirements: I need the following data points for each school: - School Name - Postcode - Total Size (Number of pupils) - Total number of Day Boys (this is the number in brackets) - Total number of Boarding Boys (this is the number in brackets) - Total number of Day Girls (this is the number in brackets) - Total number of Boarding Girls (this is the number in brackets) - Boarding fees per term (lowest number) - Boarding fees per term (Highest number) - Day fees per term (lowest number) - Day fees per term (Highest number) Deliverables: A clean, well-formatted Excel (.xlsx) file. Each school should be a row, and each data point listed above should be a clearly labelled column. Ability to handle missing data fields gracefully without breaking the spreadsheet structure (some schools may not list all fields). Good communication skills to confirm the final page count before executing the full script. Many thanks
opportunity
Python Developer for UK Council Planning Portal Scraper
I run an architectural practice in the UK. We are looking for an experienced Python developer to build a robust internal tool (MVP) that automates our planning precedent research. The goal is to scrape planning application data from two UK council portals (Hillingdon and Three Rivers). Both councils use variations of the standard Idox Public Access system. The Required Workflow: Navigate & Search: The script needs to bypass standard cookie banners and menus, navigate the planning portal, and search for a specific Application Reference or Street Name. Data Extraction: Extract structured details (Reference, Address, Proposal Description, Decision Status, Decision Date). Smart Document Handling (Crucial): Navigate to the "Documents" tab (often inside an iframe) and do the following: Download: Physically download ONLY the "Officer's Report" and "Decision Notice" PDFs (bypassing the browser's PDF viewer). Link Only: For all other documents (especially Architectural Drawings and Plans), do NOT download them. Instead, extract the direct URL/link to the document. Database Integration: Push the structured data to our database (Airtable via API). Securely upload the downloaded Officer's Reports as file attachments, and paste the direct URLs for the drawings into a separate column. Crucial Technical Challenges (Please read before bidding): We have attempted a basic Playwright script but hit several anti-scraping and structural barriers. Your solution must cleanly handle: Nested Iframes: The document lists are contained within an idox-iframe. File Interception: Bypassing standard browser PDF rendering by pulling the raw file stream directly using session requests/cookies (to avoid Target closed exceptions). Session Management & Politeness: Handling potential rate limits or dynamic ID changes. The scraper must be programmed to run politely (rate-limited) to respect council server loads. Deliverables: Clean, documented Python code (using Playwright, Scrapy, or Requests/BeautifulSoup). API integration that pushes the structured data, uploads the specific PDFs, and saves the URLs to our Airtable base. Simple instructions for running the script locally or setting it up on a basic schedule (cron job/cloud function). Please answer the following in your bid: Have you successfully scraped UK Council Idox systems or similar public portals before? How will you prevent the browser's PDF viewer from intercepting the file download for the Officer's Reports? What is your estimated timeline and cost for this MVP?
Data Scraping
I require someone to put together a list of companies that carry out EWS1 surveys in the UK - this list must have contact details and website - only companies that carry out EWS1 surveys and no other building consultancy or surveying companies. someone has tried this before and it was wrong - please only apply if you can do this job correctly
I am looking for someone to find job titles for 6,000 contacts
I have a list of 6000 UK based contacts. We already have their name, company they work for, and email address. We now need someone to accurately find each of their job titles. Data Quality Expectations: * High accuracy (no guesswork or random scraping) What We’re Looking For: * Proven experience in B2B data enrichment / lead generation * Strong research skills (especially UK companies) * Ability to maintain accuracy at scale * Clear communication and structured delivery To Apply: Please include: 1. Your approach to finding verified founder emails 2. Turnaround time 3. Estimated time it will take you
Data scraping
We seek a diligent data-scraping specialist to compile verified telephone numbers for companies conducting EWS1 surveys across the United Kingdom. Deliver a clean, deduplicated list with company name, phone number, and location; prioritize accuracy and recent validation. Adhere to legal and ethical data collection practices, document methods and sources, and provide results in CSV format. Timely delivery and attention to data quality are essential.